A beginner's guide to GLM and GLMM with R a frequentist and bayesian perspective for ecologists
his book presents Generalized Linear Models (GLM) and Generalized Linear Mixed Models (GLMM) based on both frequency-based and Bayesian concepts. Using ecological data from real-world studies, the text introduces the reader to the basics of GLM and mixed effects models, with demonstrations of binomial, gamma, Poisson, negative binomial regression, and beta and beta-binomial GLMs and GLMMs. The book uses the functions glm, lmer, glmer, glmmADMB, and also JAGS from within R. JAGS results are compared with frequentist results. R code to construct, fit, interpret, and comparatively evaluate models is provided at every stage. Otherwise challenging procedures are presented in a clear and comprehensible manner with each step of the modelling process explained in detail, and all code is provided so that it can be reproduced by the reader.
| Main Authors: | , , |
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| Format: | Texto biblioteca |
| Language: | eng |
| Published: |
Newburgt, United Kingdom Highland Statistics Ltd
2013
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| Subjects: | R (Lenguaje de programación para computadora), Modelos lineales (Estadística), Teoría bayesiana de decisiones estadísticas, Ardilla roja, Poliquetos, Polinización, Abeja melífera, Biomasa forestal, Acinonyx jubatus, Ecología, |
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